(512) 324-7000
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Travis, Williamson, Hays
Unknown
78610, 78613, 78617, 78621
Austin, TX
30° 16' 4.18", -97° 44' 32.81"
The phone number 512-324-7000 is associated with Dell Seton Medical Center at the University of Texas, located in Austin, Texas. This facility is an acute care hospital, providing various medical services. The area code 512 serves Central Texas, including cities like Austin and parts of surrounding towns. People may receive calls from this number if they are patients or have inquiries related to their medical care. Calls from this number could also be related to appointment reminders or follow-up care. Be wary of potential scams using similar numbers, as fraudsters often imitate legitimate institutions. Scammers may call from the same area code to create a sense of trust. Ensure that you verify any unsolicited calls before providing personal or financial information.
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According to public data sources, area code 512 encompasses a region experiencing significant population growth, with nearly 2.9 million residents, reflecting a diverse demographic structure. The area boasts a robust economy, as evidenced by median household incomes that consistently exceed national averages, underscoring strong economic trends. The region's workforce participation has stabilized, with unemployment rates showing a notable decline, suggesting increased job opportunities.
Communication patterns in the 512 area code reveal dynamic FCC complaint metrics. Wireless/mobile complaints have historically dominated, peaking in 2018, but have since declined. In contrast, wired complaints have seen a significant decrease, while VOIP issues fluctuate. Prerecorded voice and unwanted calls peaked around 2018 and 2019, with a general decline in recent years, indicating improvements in telecommunication services. This emerging pattern showcases evolving consumer experiences and priorities, with text message complaints initially surging but stabilizing more recently. These trends highlight pertinent communication issues, influencing regional interactions.
AI Disclaimer: This content was generated by artificial intelligence (AI) based on publicly available government data. While we strive for accuracy, the data may be out of date and/or subject to change
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